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Comment · 1 year ago
Actually, to fully utilize NVME performance, one really need to try to avoid OS overhead by leveraging AsyncIO such as IO_Uring. In fact, 4KB page works quite well if you can issue enough outstanding requests. See a paper from the link below by the TUM folks.

https://dl.acm.org/doi/abs/10.14778/3598581.3598584

Comment · 1 year ago
It's such a pity to see how much respect Apple has lost due to its lack of real technological ambition. Just a few years ago, Apple was admired for pushing boundaries—now it feels like history is repeating itself.
Comment · 1 year ago
License? It doesn't seem to be open sourced.
Comment · 1 year ago
The article makes two points—one about software performance, the other about development performance. On the topic of software performance, I think the best explanation I got came from the great Prof. Charles Leiserson’s MIT course on performance engineering: performance is a currency. It’s something we spend to gain other qualities—safety, rich features, user-friendliness, and so on. At the end of the day, a computer can executes about 100 simple primitve instructions. The reason we have a software industry is because of speed.

https://ocw.mit.edu/courses/6-172-performance-engineering-of...

Comment · 1 year ago
These days, it feels like “AI” basically just means neural network-based models—especially large autoregressive ones. Even convolutional neural networks probably don’t count as “real AI” anymore in most people’s eyes. Funny how things change. Not long ago, search algorithms like A* were considered the cutting edge of AI.

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